SalesForce DataCloud Developer

What you’ll do
•    Spearhead the development of conceptual, logical, and physical data models, while
•    implementing data marts/data warehouse/data lake/data lakehouse on Spark-based
•    platforms
•    Analyse existing models to identify variances/gaps and devise strategies to achieve
•    alignment.
•    Establish and enforce best practices and standards for data models.
•    Generate Data Flow diagrams and relevant artifacts to depict data integrations within
•    targeted systems.
•    Collaborate closely with Data Owners to understand business data requirements and
•    clarify terms and business rules.
•    Facilitate walkthrough sessions with Data Owners and stakeholders to review and
•    validate data models for accuracy.
•    Demonstrate strong communication skills and effective engagement with delivery
•    colleagues to ensure successful project outcomes.
•    Comply with Data Architecture standards and guardrails.
•    Proactively manage issues, risks, actions, and dependencies, escalating when
•    necessary.

Experience:
Must have:
•    Possess a minimum of 5+ years of Data Modelling experience in Data Lake/Delta
•    Lakehouse/Data Warehouse on Spark based platforms on AWS
•    Demonstrate a minimum of 1 year of experience working with/in Databricks.
•    Mandatory experience of Data Modelling on Delta Lakehouse
•    Knowledge in handling Spark streaming data over Delta Lakehouse.
•    Hands-on experience with data modelling tools for performing reverse and forward
•    engineering of as-is and to-be data models, in any of the industry leading data modelling
•    tools such as Erwin/ ER/Studio etc.
•    Utilize visual notations for expressing data logical and physical models, state transitions,
•    transformations, and versioning. Familiarity with UML, DPMN, ERDs, etc. is ideal.